• Pricing
Book a demo

Dynamic audience targeting for DevCycle deployments

Swiftask synchronizes your AI agents with DevCycle to segment your users in real time. Deploy the right features to the right segments, automatically.

Result:

Gain precision in your A/B tests and progressive rollouts without complex manual management.

The complexity of manual targeting in deployments

Manually managing audience segments in DevCycle is a frequent source of errors. Between changing user lists and evolving segmentation criteria, your teams waste valuable time configuring flags.

Main negative impacts:

  • Risk of targeting errors: Incorrect manual configuration can expose unfinished features to the wrong audience, impacting user experience.
  • Slow update cycles: Segments must be updated manually, slowing down your feature deployment lifecycle.
  • Lack of scalability: As your user base grows, manual segment management becomes unmanageable for your product teams.

Swiftask automates your DevCycle audience management. Your AI agents analyze user data and update segments instantly, ensuring targeting is always precise.

BEFORE / AFTER

What changes with Swiftask

Traditional management

A product team identifies a new segment. They must manually extract data, update rules in DevCycle, and verify the segment is active. Meanwhile, the data has already changed.

AI management with Swiftask

The AI agent detects a change in user behavior. It communicates directly with the DevCycle API to adjust the audience segment automatically. Deployment is immediate and precise.

Optimizing segments in 4 key steps

STEP 1 : DevCycle integration

Connect your DevCycle instance to Swiftask via a secure API key to enable bi-directional communication.

STEP 2 : Defining AI rules

Configure segmentation criteria in Swiftask. The AI agent will monitor your data sources to identify eligible users.

STEP 3 : Targeting automation

The agent dynamically updates audience properties in DevCycle without human intervention.

STEP 4 : Intelligent monitoring

Track the evolution of your segments and feature performance directly in the Swiftask dashboard.

Advanced automation capabilities

The AI agent analyzes logs, navigation behaviors, and CRM data to refine segmentation.

  • Target connector: The agent performs the right actions in devcycle based on event context.
  • Automated actions: Dynamic addition/removal of users in DevCycle segments. Creation of targeting rules based on events. Data synchronization between your stack and DevCycle.
  • Native governance: All segment changes are logged for total auditability.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-devcycle@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why choose Swiftask for DevCycle

1. Ultra-precise targeting

Don't rely on approximations anymore. AI segments your users based on real data.

2. Accelerated time-to-market

Progressive rollouts are automated. Features reach the right users faster.

3. Reduction of human errors

Automation eliminates typos or logic errors in flag configuration.

4. Continuous adaptability

Your segments evolve in real time with your product, with zero maintenance effort.

5. Fluid integration

Swiftask adapts to your existing workflow, strengthening the power of DevCycle.

Security and data governance

Swiftask applies enterprise-grade security standards for your devcycle automations.

  • API key encryption: All connections between Swiftask and DevCycle are secured by TLS encryption.
  • Detailed audit logs: Every segment update is tracked: who, when, and why.
  • Access control: Fine-grained management of access for agents authorized to modify your DevCycle flags.
  • Guaranteed compliance: Solution designed to meet the most demanding security standards.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Performance metrics

MetricBeforeAfter
Segment managementManual (hours/week)Automated (minutes)
Targeting accuracyVariable99.9% constant
Deployment timeSlowInstant
Configuration errorsFrequentNear zero

Take action with devcycle

Gain precision in your A/B tests and progressive rollouts without complex manual management.

Schedule maintenance operations with DevCycle and AI

Next use case